Job description for QA Engineer at Eklipse.gg
Job Description:
- Create quality metrics to track product improvement by developing a standard test-case document for execution.
- Execute quality improvement testing and activities (manual and automated testing).
- Develop quality assurance standards and company processes.
- Create reports that document errors and issues to be addressed.
- Collaborate with the product and dev team to implement the right product, aligned with business flow and tech limitations.
- Handle comprehensive testing across API, Web, and Mobile platforms, with a heavy focus on mobile application testing (iOS and Android).
- Work closely with the CS (Customer Support) team to investigate, reproduce, and address real user problems.
Requirements:
- A bachelor's degree in a related field is preferred (Computer Science, Informatics Engineering, Informatics Management, etc.).
- 3- 5 years of experience as a Quality Assurance Engineer.
- Fluent in English (spoken & written), as you will be collaborating with a global team.
- In-depth understanding of industry standards, QA methodologies, and company policies.
- Strong analytical and problem-solving skills, with the ability to assess risk and prioritize testing efforts accordingly.
- Exceptional attention to detail, with a systematic approach to identifying and documenting issues.
- Meticulous and diligent, with a high standard for documentation and process consistency.
- Strong customer focus with the ability to advocate for quality from the user's perspective.
- Hands-on experience with test automation frameworks (Playwright, Appium, Selenium, or Katalon) and proficient in using Git for version control, branching strategies, and maintaining automation codebases in a collaborative development environment.
- Deep working knowledge of software products, services, and the end-to-end delivery lifecycle.
- A collaborative team player who can work effectively with minimal supervision and is comfortable leading quality initiatives across cross-functional teams.
- Experienced in leveraging AI-assisted tools and workflows throughout the QA lifecycle — from test case generation and test data synthesis to defect triage and coverage gap analysis — with the judgment to critically review, refine, and integrate AI outputs into a structured, repeatable testing process.
